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"An open-source MCP service leveraging large models for innovative problem-solving" matching MCP servers:

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    GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.
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    MCP server that exposes 108+ omega-cli OSINT tools for reconnaissance, web analysis, threat intelligence, and reporting, enabling AI assistants to perform comprehensive open-source intelligence tasks.
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    MIT
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    A security linter for MCP that audits other MCP servers for compliance with the MCP specification and OWASP security standards, providing detailed findings and remediation.
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    MIT
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    Real security scanners for AI coding agents — SAST (441 rules), secret detection (419+ patterns), dependency CVEs (OSV.dev), MCP/skill vetting, MITRE ATT&CK. Open-source, Rust, free
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    Apache 2.0
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    Enables AI assistants to autonomously execute over 200 open-source penetration testing tools via MCP, including reconnaissance, web exploitation, and brute-forcing, through a unified server architecture with Docker sandboxing for safe execution.
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    MIT
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    An MCP server that connects AI clients to a Linux terminal for real-time automated penetration testing and CTF challenge solving. It enables AI models to execute terminal commands and interact with offensive security tools like Nmap, SQLMap, and Gobuster.
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    Provides essential security and CTF tools including hash identification, encoding/decoding, XOR bruteforce, JWT decoding, reverse shell generation, SQL injection payloads, CVE lookup, and port service identification for learning security concepts and solving challenges.
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    An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.
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    MIT
  • A
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    Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.
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    12
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    Apache 2.0
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    14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.
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    14
    MIT
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    A production-ready MCP server that wraps Nmap to enable AI agents to perform automated network security assessments, including port scanning, host discovery, service detection, OS fingerprinting, and vulnerability scanning.
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    12
    Apache 2.0